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Large Language Model

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Showing 3051–3075 of 6097 papers

TitleStatusHype
Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization—0
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging—0
AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling—0
Non-Determinism of "Deterministic" LLM SettingsCode0
Citekit: A Modular Toolkit for Large Language Model Citation GenerationCode1
ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented LearningCode1
500xCompressor: Generalized Prompt Compression for Large Language ModelsCode2
Body of Her: A Preliminary Study on End-to-End Humanoid Agent—0
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning—0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data AugmentationCode0
StructEval: Deepen and Broaden Large Language Model Assessment via Structured EvaluationCode0
Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective—0
XMainframe: A Large Language Model for Mainframe ModernizationCode2
Development of REGAI: Rubric Enabled Generative Artificial Intelligence—0
Wiping out the limitations of Large Language Models -- A Taxonomy for Retrieval Augmented Generation—0
BOTS-LM: Training Large Language Models for Setswana—0
SpecRover: Code Intent Extraction via LLMs—0
SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models—0
Infusing Environmental Captions for Long-Form Video Language Grounding—0
Large Language Model Aided QoS Prediction for Service Recommendation—0
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language ModelCode1
Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph—0
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation—0
Caution for the Environment: Multimodal Agents are Susceptible to Environmental DistractionsCode1
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